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不管对于图像的编码还是解码,三次样条算法的性能都是很好的,然后由于计算量比较大使他的效率有所下降,在次提出了一个考虑算法质量的前提下的快速算法。-regardless of the coding for images or decoding, cubic spline algorithm performance are good, and then because of the comparison calculation of the efficiency Ambassador he decl
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OPENGL中实现多边形的扫描线算法,能够动态地表现多边形的填充过程。
-achieve OpenGL polygon scan line algorithm performance can be dynamically polygon filling process.
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由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。-Since only the use of images of gray-scale information, SIFT algorithm can not distinguish between good shape similar but different colors of objects. In
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新手用OpenCV作的一个车牌识别程序,目前只能处理黄底黑字
的车牌图像,供大家交流学习之用,如果大家有好的测试图像,
请发到miaolg@hotmail.com,以进一步提高算法性能。-Novice to use OpenCV for a license plate identification procedures, are currently only dealing with black and yellow license plate images for use to fac
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这个matlab代码,用于测试图像融合函数的算法性能。输入两幅原始图像和融合以后的图像,函数将评价出该算法的性能。-The matlab code, for testing image fusion algorithm function. Input the original image and the integration of two subsequent images, the function will evaluate the performance of the algorithm
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fpga based jpge 压缩算法,
性能不错,-fpga based jpge compression algorithm, performance good,
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This paper presents a real-time defect detection
algorithm for high-speed steel bar in coil. Because the target speed is
very high, proposed algorithm should process quickly the large
volumes of image for real-time processing. Therefore, defect
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山 东 大 学 硕 士 学 位 论 文:图像边缘检测算法的研究本 文 分 为 七 个 部 分 。第一部分首先阐述了课题的研究背景、意义以
及该领域的发展现状;第二部分介绍了几种经典的边缘检测方法,给出
了这些方法的图像边缘检测结果,并且进行了相关的分析比较;第三部
分阐述了BP 神经网络的结构以及数学模型等相关知识;第四部分具体
介绍了一种新的基于统计向量和BP 神经网络的边缘检测方法;第五部
分介绍了一种有效的边缘细化算法,它可以对新方法得到的图像边缘进
一步处理以达到
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新三步搜索算法考虑了块矢量中心偏移的特性,在初步搜索时对中心周围的
位置同时做了匹配运算。在物体做小范围运动时,这种改进很有效,可以大大减少运算量,然而,在物体做大范围运动时,这种改进却带来了额外的运算量。现实的情况经常是物体既有小范围的偏移,也有大范围的运动。因此,在考虑块匹配算法时,既要照顾块的中心偏移特性,也要兼顾块的大范围运动。四步搜索 (Four-Step Search FSS)能够兼顾两种情况,可以得到较好的性能。
-The new three-step search alg
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PCA+LDA人脸识别,识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
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几种典型红外弱小目标检测算法的性能评估文档,是进行算法开发的研究基础-Typical infrared small target detection algorithm performance assessment.This document is the basis for algorithm development research
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基于HSI空间的颜色算法提牌照识别的性能Algorithm based on HSI color space to mention the performance license plate recognition-Algorithm based on HSI color space to mention the performance license plate recognition
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关于SIFT图形匹配算法的课件,详细介绍了SIFT算法的原理和与其他同类图形匹配算法的性能比较-SIFT matching algorithm on the courseware graphic introduced in detail the principles of SIFT algorithm and matching algorithm and other similar graphics performance comparison
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网上收集的利用八叉树进行色彩量化文档资料。
常用色彩量化算法的性能分析。
基于八叉树结构的色彩量化算法。
一种八叉树色彩量化算法的改进。
真彩转256色(八叉树)。
位图八叉树算法。-The online collection by octree undertakes colour quantitative document material.
Common colour the performance analysis of the quantitative a
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AGV路径图像识别:通过CCD摄像机系统路径标线的图像,后续图像处理和识别算法性能-Image Recognition path: the path through the CCD camera system marking the images, follow-up image processing and recognition algorithm performance
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图像增强
1)选择需要增强的灰度图片
2)分析图像特性,选择或设计算法
3)编程实现算法,获得增强结果图像
4)评价算法性能,实验报告-Image Enhancement 1) Select Enhanced grayscale image 2) image analysis features, select or design algorithm 3) programming algorithm to obtain the results of image enhancemen
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一种实现人体步态识别的baseline算法,用c语言开发的,运行环境最好是Linux系统,算法性能稳定,可靠性高。-A baseline algorithm of human gait recognition , development of c language, running environment is the best Linux system, the performance of the algorithm is stable, and highly reliable.
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分析了在核磁共振图像恢复中任意K-空间采样敏感度编码的提升。分析了非笛卡尔梯度SENSE算法在平行图像中中表现。-Enhance the analysis of an arbitrary K-space sampling sensitivity encoding in magnetic resonance image restoration. Analysis of non-Cartesian SENSE gradient algorithm performance in parallel to
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模拟退火算法,经过调试可以运行,效果不错-simulated annealing algorithm which has been tested with good performance
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仿真演示自适应最小均方LMS算法的性能: 全矢量噪声,失调量,自适应时间之间的关系。-Simulation demonstrates adaptive least mean square LMS algorithm performance: relationship full vector noise, offset the amount of time between adaptation.
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